| Literature DB >> 33987689 |
Alexander Sandon1, Werner Krutsch2, Volker Alt2, Magnus Forssblad3.
Abstract
PURPOSE: To identify football-specific factors associated with ACL injuries that can be targeted for sport-specific injury prevention.Entities:
Keywords: ACL; ACL injury; Football; Return to sports; Soccer
Mesh:
Year: 2021 PMID: 33987689 PMCID: PMC9007801 DOI: 10.1007/s00167-021-06604-w
Source DB: PubMed Journal: Knee Surg Sports Traumatol Arthrosc ISSN: 0942-2056 Impact factor: 4.342
Anthropomorphic data of male and female anterior cruciate ligament injured male and female football players (n = 2875)
| Variable | Male | Female | ||
|---|---|---|---|---|
| 61.3% | 38.7% | |||
| Mean | SD | Mean | SD | |
| Age (years) | 28.4 | 7.9 | 23.9 | 9 |
| Height (cm) | 181 | 6.5 | 167 | 5.9 |
| Weight (kg) | 81 | 11.3 | 66 | 9 |
| Body mass index (BMI) | 24.9 | 3 | 23.4 | 2.8 |
Football-specific data for ACL-injured football players (n = 2875)
| Variable | Total | Male | Female |
|---|---|---|---|
| % | % | % | |
| Position | |||
| Goalkeeper | 5.2 | 4.8 | 5.8 |
| Defender | 37.1 | 36.5 | 38 |
| Midfielder | 36.8 | 37.5 | 35.6 |
| Forward | 21 | 21.2 | 20.6 |
| Dominant leg | |||
| Right | 81.1 | 79.2 | 84.1 |
| Left | 10.7 | 13.3 | 6.6 |
| Two-footed | 8.2 | 7.5 | 9.3 |
| Level of play | |||
| Swedish top division | 2.8 | 2.1 | 4 |
| Division 2 | 1.6 | 0.9 | 2.6 |
| Division 3 | 6.6 | 2.1 | 13.7 |
| Division 4 | 11.5 | 5.1 | 21.7 |
| Division 5 | 14.4 | 8.5 | 23.7 |
| Division 6 | 14.9 | 16 | 13.1 |
| Division 7 | 13.4 | 19.5 | 3.6 |
| Division 8 or lower | 11.4 | 17.7 | 1.3 |
| Non-league | 8 | 10.9 | 3.5 |
| Recreational | 15.5 | 17.2 | 12.8 |
Injury occurrence data for ACL-injured football players (n = 2875)
| Variable | Total | Male | Female |
|---|---|---|---|
| % | % | % | |
| Injured leg | |||
| Right | 53.5 | 54.3 | 52.2 |
| Left | 46.5 | 45.7 | 47.8 |
| Activity at time of injury | |||
| Home game | 33.9 | 34.2 | 33.5 |
| Away game | 31.8 | 27.9 | 38 |
| Practice | 24.8 | 27.1 | 21.2 |
| Other | 9.5 | 10.8 | 7.3 |
| Injury mechanism | |||
| Contact | 40.9 | 39.9 | 42.5 |
| Non-contact | 59.1 | 60.1 | 57.5 |
| Referees decision | |||
| Red card | 0.5 | 0.4 | 0.6 |
| Yellow card | 3.4 | 4 | 2.5 |
| Freekick | 12.2 | 12.5 | 11.8 |
| Other | 20.8 | 20.3 | 21.5 |
| No action | 63.1 | 62.8 | 63.6 |
| Started the game | |||
| Yes | 86.1 | 85.7 | 86.6 |
| Substituted on | 13.9 | 14.3 | 13.3 |
| Action after injury | |||
| Continued playing | 3.9 | 4.3 | 3.1 |
| Stopped playing | 86.6 | 85.3 | 88.8 |
| Unsure | 9.5 | 10.4 | 8.1 |
| Pitch surface | |||
| Grass | 37.7 | 37.3 | 38.4 |
| Artificial grass | 45.7 | 44.8 | 47.2 |
| Gravel | 1.4 | 1.6 | 1 |
| Indoor | 12.1 | 12.8 | 11.1 |
| Other | 3.1 | 3.5 | 2.4 |
| Game minute | |||
| Mean (SD) | 40.3 (26.4) | 39.7 (26.1) | 41.3 (26.9) |
| 0–15 | 23.9 | 24 | 23.9 |
| 16–30 | 23.3 | 23.9 | 22.1 |
| 31–45 | 13.3 | 14.3 | 11.9 |
| 46–60 | 13.9 | 13.7 | 14.1 |
| 61–75 | 14.8 | 13.8 | 16.4 |
| 76–90 + | 10.8 | 10.3 | 11.6 |
Fig. 1Frequencies of ACL injuries in football per month in Sweden (n 2619)
Fig. 2Frequencies of ACL injuries in football per weekday in Sweden (n 2312)
Preparation and influencing factors for ACL injuries in football players (n = 2875)
| Variable | Total | Male | Female |
|---|---|---|---|
| % | % | % | |
| Club change for this season | |||
| Yes | 11.8 | 11.5 | 12.2 |
| No | 88.2 | 88.5 | 87.8 |
| Division change this season | |||
| No | 77 | 79.3 | 73.3 |
| Yes, to a higher | 14.6 | 11.5 | 19.7 |
| Yes, to a lower | 8.4 | 9.2 | 7 |
| Coach change | |||
| No | 72.3 | 75.5 | 67.3 |
| During the season | 17.3 | 15.2 | 20.8 |
| Before the season | 10.4 | 9.4 | 11.9 |
| Weight change previous 3 months | |||
| About the same | 78.9 | 77 | 81.9 |
| Gained weight | 7.2 | 7.6 | 6.6 |
| Lost weight | 13.9 | 15.4 | 11.4 |
| New football shoes last month | |||
| Yes | 11.8 | 13 | 10 |
| No | 88.2 | 87 | 90 |
| Shoe type at time of injury | |||
| Firm ground—permanent studs | 62.4 | 63.5 | 60.6 |
| Soft ground—screw-in studs | 1.8 | 2.6 | 0.5 |
| Artificial grass | 19.7 | 16.8 | 24.4 |
| Indoor | 6.3 | 7.2 | 4.9 |
| Other | 9.8 | 10 | 9.5 |
| Weather conditions | |||
| Sun | 42.5 | 41.5 | 44 |
| Cloudy | 29.3 | 29.7 | 28.5 |
| Rain | 6.8 | 6.9 | 6.7 |
| Snow | 3.7 | 3.9 | 3.4 |
| Other | 17.7 | 17.9 | 17.3 |
| Games played in the previous 7 days | |||
| 0 | 37.3 | 35.2 | 40.9 |
| 1 | 50.4 | 49.4 | 52 |
| 2 or more | 12.3 | 15.3 | 7.1 |
| Warm up using knee control exercises | |||
| Yes | 21.7 | 15.6 | 31.4 |
| No | 78.3 | 84.4 | 68.6 |
| Previous injury | |||
| ACL | 15.5 | 14 | 17.9 |
| PCL | 1.2 | 1.2 | 1.2 |
| Symptoms or injury in the last 6 weeks before the ACL injury | |||
| Yes | 19.8 | 18.7 | 21.6 |
| No | 80.2 | 81.3 | 78.4 |
| Distribution of symptoms and injuries per body part | |||
| Head | 4.2 | 2.7 | 6.2 |
| Neck | 2.5 | 1.5 | 3.8 |
| Back | 18.9 | 19.4 | 18.3 |
| Groin | 14 | 16.1 | 11.3 |
| Hip | 9.3 | 7.9 | 11.3 |
| Thigh | 16 | 13.6 | 19.2 |
| Knee | 60 | 62.7 | 56.3 |
| Ankle/foot | 25.4 | 23.6 | 27.9 |
Time until ACL diagnosis, imaging, associated injuries, intention to return, and treatment data for ACL-injured football players (n = 2875)
| Variable | Total | Male | Female |
|---|---|---|---|
| Days until ACL diagnosis | |||
| Median | 21 | 24 | 21 |
| Mean (SD) | 93 (260) | 106 (285) | 73 (214) |